The Mental Models Theory of Reasoning


Book Description

The Mental Models Theory of Reasoning presents theoretical and empirical research on an area of growing interest, the status of mental models in deductive reasoning. As research in the framework of the mental models theory flourishes, this book answers a need to assess the contribution of the notion of training and content. It covers the central issues of propositional, relational, causal and probabilistic reasoning, and argumentation and development. In addition, this work presents data regarding strategies, argumentation, and the development of reasoning. Special features of this text include: *sharp theoretical analyses as well as important new empirical data offered by theorists who work in the framework of the mental models theory; *a critical and empirically driven account of content effects in conditional and linear reasoning; and *an original account on the influence of pragmatics on reasoning. The Mental Models Theory of Reasoning will be of interest to researchers and advanced students of cognitive psychology, and will be valuable to individuals working in Artificial Intelligence, as it highlights theoretical and empirical data on how humans use mental models when tackling deductive puzzles.




Mental Models


Book Description

This book offers a unified theory of the major propertries of mind, including comprehension, inference, and consciousness. The author argues that we apprehend the world by building inner mental replicas of the relationships among objects and events that concern us. The mind is essentially a model-building device that can itself be modeled on a computer. The book provides a blueprint for building such a model and numberous important illustrations of how to do it.




The Great Mental Models, Volume 1


Book Description

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.




Mental Logic


Book Description

Over the past decade, the question of whether there is a mental logic has become subject to considerable debate. There have been attacks by critics who believe that all reasoning uses mental models and return attacks on mental-models theory. This controversy has invaded various journals and has created issues between mental logic and the biases-and-heuristics approach to reasoning, and the content-dependent theorists. However, despite its pertinence to current issues in cognition, few cognitive scientists really know what the mental-logic theory is, and misapprehensions are prevalent. This volume is a comprehensive presentation of the theory of mental logic and its implications for cognition and development, including the acquisition of language. The theory offered here has three parts. Part I is the mental logic per se that contains a set of inference schemas. Part II is a reasoning program that applies the schemas in lines of reasoning, including a direct-reasoning routine and more sophisticated indirect-reasoning strategies. Part III of the theory is pragmatic, proposing that the basic meaning of each logic particle is in the inferences that are sanctioned by its inference schemas.




Psychology of Reasoning


Book Description

This collection brings together a set of specially commissioned chapters from leading international researchers in the psychology of reasoning. Its purpose is to explore the historical, philosophical and theoretical implications of the development of this field. Taking the unusual approach of engaging not only with empirical data but also with the ideas and concepts underpinning the psychology of reasoning, this volume has important implications both for psychologists and other students of cognition, including philosophers. Sub-fields covered include mental logic, mental models, rational analysis, social judgement theory, game theory and evolutionary theory. There are also specific chapters dedicated to the history of syllogistic reasoning, the psychology of reasoning as it operates in scientific theory and practice, Brunswickian approaches to reasoning and task environments, and the implications of Popper's philosophy for models of behaviour testing. This cross-disciplinary dialogue and the range of material covered makes this an invaluable reference for students and researchers into the psychology and philosophy of reasoning.




The Oxford Handbook of Thinking and Reasoning


Book Description

The Oxford Handbook of Thinking and Reasoning brings together the contributions of many of the leading researchers in thinking and reasoning to create the most comprehensive overview of research on thinking and reasoning that has ever been available. Each chapter includes a bit of historical perspective on the topic, and concludes with some thoughts about where the field seems to be heading.




Twenty-one Mental Models That Can Change Policing


Book Description

This book goes beyond other police leadership books to teach practitioners how to think about policing in a structured way that synthesizes criminological theory, statistics, research design, applied research, and what works and what doesn’t in policing into Mental Models. A Mental Model is a representation of how something works. Using a Mental Model framework to simplify complex concepts, readers will take away an in-depth understanding of how cognitive biases affect our ability to understand and interpret data, what empirical research says about effective police interventions, how statistical data should be structured for management meetings, and how to evaluate interventions for efficiency and effectiveness. While evidence-based practice is critical to advancing the police profession, it is limited in scope, and is only part of what is necessary to support sustainable change in policing. Policing requires a scientifically based framework to understand and interpret data in a way that minimizes cognitive bias to allow for better responses to complex problems. Data and research have advanced so rapidly in the last several decades that it is difficult for even the most ambitious of police leaders to keep pace. The Twenty-one Mental Models were synthesized to create a framework for any police, public, or community leader to better understand how cognitive bias contributes to misunderstanding data and gives the reader the tools to overcome those biases to better serve their communities. The book is intended for a wide range of audiences, including law enforcement and community leaders; scholars and policy experts who specialize in policing; students of criminal justice, organizations, and management; reporters and journalists; individuals who aspire to police careers; and citizen consumers of information about policing. Anyone who is going to make decisions about their communities based on data has a responsibility to be numerate and this book Twenty-one Mental Models That Can Change Policing: A Framework For Using Data and Research For Overcoming Cognitive Bias, will help you become just that.




Contemplating Climate Change


Book Description

Global climate change policy has failed us all, but what is the reasoning that underlies this failure? Why are some people more disposed to reflect on confounding issues like climate change, recognise the danger, seek a solution, and act accordingly, more than others? This book is concerned with how we think and act in response to climate change. In particular, faced with deep uncertainty and the multifaceted complexities that characterise the climate change conundrum, how the various actors and institutions involved in the policymaking process make decisions that both aid and impede in the design and implementation of climate change policy. This book focuses on how these actors and institutions frame and use the knowledge available – under conditions of competing ideologies and interests – and synthesise it to form often-disparate mental models, or worldviews, that inspire them to become firm advocates of meaningful climate change action or indeed, sceptics that continue to downplay the threat, and hence the need for urgency. By exploring how we think about climate change and the disparate mental models we hold as a result, this book explores why humankind has thus far failed in its endeavours to solve the climate change problem. This book will be of great interest to students and scholars of climate change, environmental policy and environmental psychology.




Model-Based Reasoning in Scientific Discovery


Book Description

The volume is based on the papers that were presented at the Interna tional Conference Model-Based Reasoning in Scientific Discovery (MBR'98), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 1998. The papers explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The study of diagnostic, visual, spatial, analogical, and temporal rea soning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help only of tradi tional notions of reasoning such as classical logic. Traditional accounts of scientific reasoning have restricted the notion of reasoning primarily to de ductive and inductive arguments. Understanding the contribution of model ing practices to discovery and conceptual change in science requires ex panding scientific reasoning to include complex forms of creative reasoning that are not always successful and can lead to incorrect solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philoso phy, artificial intelligence, cognitive psychology, and logic; that is, at the heart of cognitive science. There are several key ingredients common to the various forms of model based reasoning to be considered in this book. The models are intended as in terpretations of target physical systems, processes, phenomena, or situations. The models are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain.




Model-Based Reasoning in Science and Technology


Book Description

This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.